Finding experiments

To use incense we first have to instantiate an experiment loader that will enable us to query the database for specific runs.

targets_type iteration autoencoder_type batch_size artifacts
exp_id
25 Mnist False normal_dim_iteration 128 {'history_autoencoder_iteration': Artifact(nam...
26 Mnist False normal_dim_iteration 64 {'history_autoencoder_iteration': Artifact(nam...
27 Mnist False normal_dim_iteration 32 {'history_autoencoder_iteration': Artifact(nam...
29 Mnist False normal_dim_iteration 256 {'history_autoencoder_iteration': Artifact(nam...
30 10_Targets False normal_dim_iteration 256 {'history_autoencoder_iteration': Artifact(nam...
31 10_Targets False normal_dim_iteration 128 {'history_autoencoder_iteration': Artifact(nam...
32 10_Targets False normal_dim_iteration 64 {'history_autoencoder_iteration': Artifact(nam...
33 10_Targets False normal_dim_iteration 32 {'history_autoencoder_iteration': Artifact(nam...
targets_type iteration autoencoder_type batch_size artifacts sort
exp_id
30 10_Targets False normal_dim_iteration 256 {'history_autoencoder_iteration': Artifact(nam... 0
31 10_Targets False normal_dim_iteration 128 {'history_autoencoder_iteration': Artifact(nam... 1
32 10_Targets False normal_dim_iteration 64 {'history_autoencoder_iteration': Artifact(nam... 2
33 10_Targets False normal_dim_iteration 32 {'history_autoencoder_iteration': Artifact(nam... 3
25 Mnist False normal_dim_iteration 128 {'history_autoencoder_iteration': Artifact(nam... 4
26 Mnist False normal_dim_iteration 64 {'history_autoencoder_iteration': Artifact(nam... 5
27 Mnist False normal_dim_iteration 32 {'history_autoencoder_iteration': Artifact(nam... 6
29 Mnist False normal_dim_iteration 256 {'history_autoencoder_iteration': Artifact(nam... 7

Red best overall, and also best of subset. Bes means for accuracy max, rest min. Green best of subset.

predictions_df_0
Accuracy over iterations evaluations_feature_classifier
normal_dim_iteration 256 10_Targets normal_dim_iteration 128 10_Targets normal_dim_iteration 64 10_Targets normal_dim_iteration 32 10_Targets normal_dim_iteration 128 Mnist normal_dim_iteration 64 Mnist normal_dim_iteration 32 Mnist normal_dim_iteration 256 Mnist
0 0.9575 0.8922 0.8906 0.8313 0.9693 0.9735 0.9738 0.9729
1 0.8449 0.5675 0.6091 0.4085 0.9658 0.9679 0.9696 0.9699
2 0.8043 0.5246 0.5545 0.3565 0.9559 0.9588 0.9605 0.9624
3 0.7866 0.513 0.5378 0.3379 0.9457 0.9456 0.9448 0.9516
4 0.7806 0.5116 0.5323 0.3294 0.9309 0.93 0.9275 0.9383
5 0.7792 0.5114 0.5316 0.3255 0.9132 0.9094 0.9052 0.9212
6 0.7782 0.5112 0.5311 0.3248 0.8946 0.8862 0.879 0.9059
7 0.7772 0.5112 0.5293 0.3247 0.8757 0.8594 0.8543 0.885
Loss over iterations autoencoder
normal_dim_iteration 256 10_Targets normal_dim_iteration 128 10_Targets normal_dim_iteration 64 10_Targets normal_dim_iteration 32 10_Targets normal_dim_iteration 128 Mnist normal_dim_iteration 64 Mnist normal_dim_iteration 32 Mnist normal_dim_iteration 256 Mnist
0 0.35979 0.331481 0.311737 0.313484 0.0327794 0.0288511 0.0340299 0.0304997
1 0.374419 0.381863 0.355758 0.357542 0.0440889 0.04114 0.047371 0.0409075
2 0.385522 0.419019 0.382428 0.378265 0.0583294 0.0560521 0.0637534 0.0537868
3 0.393742 0.437074 0.395776 0.4018 0.0739324 0.0720884 0.081596 0.0678473
4 0.398852 0.441628 0.40141 0.410464 0.0900771 0.0882952 0.100103 0.0824141
5 0.401655 0.442743 0.403548 0.412815 0.106276 0.104457 0.118781 0.0971141
6 0.403356 0.443029 0.404716 0.413285 0.122199 0.120098 0.13682 0.111705
7 0.404287 0.443135 0.405532 0.413459 0.137674 0.134989 0.154942 0.126033
MAE over iterations autoencoder
normal_dim_iteration 256 10_Targets normal_dim_iteration 128 10_Targets normal_dim_iteration 64 10_Targets normal_dim_iteration 32 10_Targets normal_dim_iteration 128 Mnist normal_dim_iteration 64 Mnist normal_dim_iteration 32 Mnist normal_dim_iteration 256 Mnist
0 0.257841 0.265122 0.252246 0.258131 0.058485 0.0539766 0.0598696 0.0561558
1 0.259482 0.274517 0.259395 0.259984 0.0681555 0.0646586 0.071011 0.0652441
2 0.260869 0.280912 0.262711 0.261645 0.078834 0.0758545 0.082992 0.0750938
3 0.262141 0.284515 0.264405 0.262598 0.0895451 0.0867817 0.0949454 0.0849727
4 0.262938 0.285467 0.265119 0.263559 0.0999426 0.0971184 0.106588 0.0946146
5 0.263325 0.285702 0.265369 0.263891 0.109904 0.106923 0.117814 0.103896
6 0.263517 0.285771 0.265536 0.263952 0.119359 0.116086 0.128351 0.112791
7 0.263655 0.285792 0.265661 0.263973 0.12829 0.124593 0.138637 0.121289 
predictions_df_10
Accuracy over iterations evaluations_feature_classifier
normal_dim_iteration 256 10_Targets normal_dim_iteration 128 10_Targets normal_dim_iteration 64 10_Targets normal_dim_iteration 32 10_Targets normal_dim_iteration 128 Mnist normal_dim_iteration 64 Mnist normal_dim_iteration 32 Mnist normal_dim_iteration 256 Mnist
0 0.9384 0.8707 0.8684 0.8142 0.9279 0.9214 0.9369 0.9245
1 0.8257 0.5566 0.6036 0.4045 0.9371 0.9352 0.9424 0.9344
2 0.79 0.5145 0.5469 0.3535 0.9255 0.9271 0.9307 0.9268
3 0.7738 0.5052 0.5312 0.3351 0.9099 0.9096 0.9121 0.9129
4 0.7672 0.5028 0.5279 0.3274 0.8916 0.8875 0.8918 0.8987
5 0.7652 0.5028 0.5272 0.3231 0.8716 0.8625 0.8634 0.8831
6 0.7638 0.5027 0.5262 0.3222 0.8449 0.8356 0.8349 0.8601
7 0.7632 0.5026 0.5255 0.3222 0.8214 0.808 0.8035 0.8357
Loss over iterations autoencoder
normal_dim_iteration 256 10_Targets normal_dim_iteration 128 10_Targets normal_dim_iteration 64 10_Targets normal_dim_iteration 32 10_Targets normal_dim_iteration 128 Mnist normal_dim_iteration 64 Mnist normal_dim_iteration 32 Mnist normal_dim_iteration 256 Mnist
0 0.358889 0.332155 0.310855 0.313416 0.0688862 0.0646112 0.0627688 0.0710904
1 0.375126 0.383949 0.356516 0.357368 0.0745215 0.0715365 0.0723467 0.0741792
2 0.387108 0.42164 0.383717 0.378277 0.0866874 0.084294 0.086783 0.0841871
3 0.395259 0.439556 0.397391 0.401955 0.101211 0.0989651 0.103826 0.0966246
4 0.400242 0.444101 0.402681 0.411255 0.116575 0.114241 0.121914 0.110063
5 0.403219 0.445331 0.404631 0.41393 0.132044 0.129561 0.141397 0.123848
6 0.405007 0.445735 0.405743 0.414668 0.147246 0.144183 0.161336 0.137611
7 0.405857 0.445849 0.406489 0.414819 0.161918 0.158106 0.179842 0.151104
MAE over iterations autoencoder
normal_dim_iteration 256 10_Targets normal_dim_iteration 128 10_Targets normal_dim_iteration 64 10_Targets normal_dim_iteration 32 10_Targets normal_dim_iteration 128 Mnist normal_dim_iteration 64 Mnist normal_dim_iteration 32 Mnist normal_dim_iteration 256 Mnist
0 0.258372 0.265957 0.252702 0.258366 0.0890807 0.0843955 0.0846841 0.0903962
1 0.260235 0.275855 0.260027 0.260541 0.0919561 0.0879388 0.0900578 0.0915425
2 0.261727 0.28236 0.26343 0.262108 0.099129 0.095495 0.0988684 0.0973095
3 0.262967 0.285898 0.265037 0.263036 0.107695 0.104167 0.109113 0.104716
4 0.263674 0.286875 0.265688 0.264109 0.116623 0.11303 0.119731 0.112687
5 0.264073 0.28713 0.265929 0.26454 0.125454 0.121717 0.130809 0.120762
6 0.264323 0.287209 0.266073 0.264642 0.133975 0.129899 0.141852 0.128704
7 0.264472 0.287238 0.266171 0.264652 0.142092 0.13757 0.152006 0.136394 
predictions_df_20
Accuracy over iterations evaluations_feature_classifier
normal_dim_iteration 256 10_Targets normal_dim_iteration 128 10_Targets normal_dim_iteration 64 10_Targets normal_dim_iteration 32 10_Targets normal_dim_iteration 128 Mnist normal_dim_iteration 64 Mnist normal_dim_iteration 32 Mnist normal_dim_iteration 256 Mnist
0 0.91 0.8412 0.8424 0.79 0.8754 0.8534 0.8814 0.8591
1 0.8051 0.5483 0.5948 0.3989 0.8891 0.8806 0.8993 0.8743
2 0.7692 0.5092 0.5449 0.3526 0.8821 0.8703 0.8864 0.8639
3 0.7545 0.4977 0.5283 0.3316 0.8623 0.8522 0.8602 0.848
4 0.7492 0.4971 0.5249 0.3227 0.8389 0.8243 0.8337 0.8298
5 0.7482 0.4963 0.5228 0.3195 0.8094 0.7967 0.8032 0.808
6 0.7468 0.4962 0.5218 0.3186 0.7803 0.7652 0.7689 0.7843
7 0.7465 0.4962 0.5209 0.3185 0.753 0.7378 0.7382 0.7596
Loss over iterations autoencoder
normal_dim_iteration 256 10_Targets normal_dim_iteration 128 10_Targets normal_dim_iteration 64 10_Targets normal_dim_iteration 32 10_Targets normal_dim_iteration 128 Mnist normal_dim_iteration 64 Mnist normal_dim_iteration 32 Mnist normal_dim_iteration 256 Mnist
0 0.358313 0.332956 0.310159 0.312293 0.105082 0.105289 0.0933875 0.112394
1 0.375251 0.385393 0.356036 0.357125 0.107405 0.110804 0.101813 0.11059
2 0.387484 0.423282 0.383711 0.379272 0.118473 0.122286 0.11643 0.118996
3 0.396304 0.441523 0.397665 0.403671 0.132269 0.135586 0.133815 0.130422
4 0.401385 0.445851 0.40384 0.412715 0.146998 0.149204 0.152888 0.142944
5 0.404299 0.447107 0.406057 0.415283 0.161835 0.163127 0.1738 0.155778
6 0.406125 0.44758 0.407082 0.415974 0.176369 0.17617 0.194453 0.168562
7 0.407 0.447678 0.407796 0.416158 0.190358 0.188886 0.21328 0.181127
MAE over iterations autoencoder
normal_dim_iteration 256 10_Targets normal_dim_iteration 128 10_Targets normal_dim_iteration 64 10_Targets normal_dim_iteration 32 10_Targets normal_dim_iteration 128 Mnist normal_dim_iteration 64 Mnist normal_dim_iteration 32 Mnist normal_dim_iteration 256 Mnist
0 0.258986 0.266834 0.253085 0.258932 0.114449 0.111544 0.106476 0.11919
1 0.260914 0.277025 0.260496 0.261268 0.11441 0.112726 0.109693 0.116854
2 0.262308 0.283489 0.26396 0.262899 0.11983 0.118414 0.117336 0.120637
3 0.263664 0.286979 0.2656 0.263862 0.12705 0.125505 0.126797 0.126513
4 0.264366 0.287879 0.266302 0.264841 0.13489 0.132924 0.13716 0.133241
5 0.264681 0.288136 0.266546 0.26521 0.142799 0.1405 0.148423 0.140233
6 0.264901 0.288244 0.266684 0.26532 0.150535 0.147577 0.159457 0.147219
7 0.265048 0.288265 0.266786 0.265358 0.157927 0.154405 0.169458 0.154073 
predictions_df_30
Accuracy over iterations evaluations_feature_classifier
normal_dim_iteration 256 10_Targets normal_dim_iteration 128 10_Targets normal_dim_iteration 64 10_Targets normal_dim_iteration 32 10_Targets normal_dim_iteration 128 Mnist normal_dim_iteration 64 Mnist normal_dim_iteration 32 Mnist normal_dim_iteration 256 Mnist
0 0.8611 0.8012 0.8062 0.7661 0.8195 0.7929 0.8189 0.7769
1 0.771 0.5271 0.5843 0.398 0.8326 0.8223 0.8342 0.7938
2 0.7436 0.4869 0.5314 0.3467 0.8215 0.8127 0.8205 0.7857
3 0.7296 0.4758 0.5158 0.3262 0.8013 0.7931 0.7942 0.7646
4 0.7233 0.4746 0.5117 0.3179 0.7719 0.7589 0.763 0.7412
5 0.7212 0.4743 0.5108 0.3142 0.744 0.7252 0.7323 0.7213
6 0.7207 0.4744 0.509 0.313 0.7135 0.6985 0.7006 0.6989
7 0.72 0.4744 0.5083 0.3126 0.6849 0.6658 0.6675 0.6738
Loss over iterations autoencoder
normal_dim_iteration 256 10_Targets normal_dim_iteration 128 10_Targets normal_dim_iteration 64 10_Targets normal_dim_iteration 32 10_Targets normal_dim_iteration 128 Mnist normal_dim_iteration 64 Mnist normal_dim_iteration 32 Mnist normal_dim_iteration 256 Mnist
0 0.357751 0.334772 0.309412 0.312007 0.141699 0.147597 0.135794 0.154849
1 0.376503 0.389505 0.357206 0.358172 0.1415 0.151345 0.153006 0.148686
2 0.389318 0.428542 0.385363 0.380728 0.151484 0.160894 0.167243 0.155493
3 0.398415 0.447329 0.399567 0.405104 0.164435 0.172652 0.183931 0.165705
4 0.403963 0.452288 0.405372 0.414328 0.178311 0.1848 0.204266 0.177148
5 0.407298 0.45361 0.407457 0.417021 0.192196 0.196557 0.226432 0.189018
6 0.409379 0.453998 0.408492 0.417854 0.20574 0.207964 0.24766 0.200879
7 0.410389 0.454055 0.409383 0.418032 0.21873 0.218695 0.267834 0.212546
MAE over iterations autoencoder
normal_dim_iteration 256 10_Targets normal_dim_iteration 128 10_Targets normal_dim_iteration 64 10_Targets normal_dim_iteration 32 10_Targets normal_dim_iteration 128 Mnist normal_dim_iteration 64 Mnist normal_dim_iteration 32 Mnist normal_dim_iteration 256 Mnist
0 0.260376 0.26839 0.25385 0.259506 0.137744 0.137232 0.132684 0.146075
1 0.262571 0.279789 0.261373 0.261976 0.135955 0.136613 0.139165 0.141432
2 0.263941 0.286764 0.264818 0.263464 0.140115 0.140651 0.145724 0.143798
3 0.265251 0.290401 0.266565 0.264564 0.14624 0.146315 0.154119 0.148406
4 0.266 0.291426 0.267251 0.265683 0.153093 0.152467 0.164579 0.154027
5 0.266394 0.291683 0.267493 0.266112 0.160071 0.158585 0.175979 0.160082
6 0.266639 0.29177 0.267636 0.266225 0.166916 0.164581 0.186898 0.166232
7 0.266792 0.291781 0.267774 0.26626 0.173475 0.170206 0.197275 0.172326 
predictions_df_40
Accuracy over iterations evaluations_feature_classifier
normal_dim_iteration 256 10_Targets normal_dim_iteration 128 10_Targets normal_dim_iteration 64 10_Targets normal_dim_iteration 32 10_Targets normal_dim_iteration 128 Mnist normal_dim_iteration 64 Mnist normal_dim_iteration 32 Mnist normal_dim_iteration 256 Mnist
0 0.8131 0.7544 0.7583 0.7288 0.7551 0.7196 0.7485 0.6983
1 0.74 0.5124 0.574 0.3896 0.7627 0.7424 0.7698 0.7084
2 0.7122 0.4759 0.5242 0.3455 0.7443 0.7307 0.758 0.6952
3 0.7006 0.4672 0.5057 0.3264 0.7171 0.717 0.7326 0.6739
4 0.6954 0.4655 0.504 0.3166 0.6873 0.6845 0.7007 0.6539
5 0.6928 0.465 0.503 0.3117 0.6604 0.6487 0.664 0.6296
6 0.6921 0.4649 0.5017 0.3111 0.6277 0.6156 0.6315 0.6073
7 0.691 0.4649 0.5001 0.3106 0.6003 0.5864 0.6016 0.586
Loss over iterations autoencoder
normal_dim_iteration 256 10_Targets normal_dim_iteration 128 10_Targets normal_dim_iteration 64 10_Targets normal_dim_iteration 32 10_Targets normal_dim_iteration 128 Mnist normal_dim_iteration 64 Mnist normal_dim_iteration 32 Mnist normal_dim_iteration 256 Mnist
0 0.35821 0.336428 0.308791 0.311378 0.181517 0.197497 0.178541 0.197786
1 0.37825 0.393082 0.358126 0.357648 0.179061 0.199935 0.196713 0.187864
2 0.39223 0.432584 0.387202 0.380517 0.187617 0.208128 0.210777 0.193249
3 0.401966 0.451348 0.401555 0.404747 0.199142 0.218192 0.227614 0.202288
4 0.407897 0.456047 0.4079 0.415025 0.211809 0.228735 0.248438 0.212556
5 0.411408 0.457264 0.410055 0.417688 0.224675 0.239129 0.269568 0.223192
6 0.413765 0.457616 0.411094 0.418361 0.237233 0.248112 0.289882 0.233831
7 0.414973 0.457715 0.411854 0.418619 0.249212 0.255854 0.312281 0.244314
MAE over iterations autoencoder
normal_dim_iteration 256 10_Targets normal_dim_iteration 128 10_Targets normal_dim_iteration 64 10_Targets normal_dim_iteration 32 10_Targets normal_dim_iteration 128 Mnist normal_dim_iteration 64 Mnist normal_dim_iteration 32 Mnist normal_dim_iteration 256 Mnist
0 0.262148 0.270291 0.254849 0.259529 0.161297 0.165441 0.157817 0.171916
1 0.264654 0.282077 0.262469 0.262114 0.158112 0.163563 0.164118 0.165492
2 0.266285 0.288922 0.26605 0.263444 0.161113 0.166548 0.169905 0.166829
3 0.267664 0.292459 0.267847 0.264771 0.166057 0.171014 0.177762 0.170478
4 0.268475 0.293405 0.268611 0.265965 0.171846 0.176103 0.187945 0.175128
5 0.268874 0.293662 0.268875 0.266374 0.177929 0.181367 0.198435 0.180209
6 0.269114 0.293742 0.269009 0.266505 0.183964 0.186023 0.20865 0.185446
7 0.269302 0.293766 0.26912 0.266539 0.189762 0.190069 0.219915 0.190698 
predictions_df_50
Accuracy over iterations evaluations_feature_classifier
normal_dim_iteration 256 10_Targets normal_dim_iteration 128 10_Targets normal_dim_iteration 64 10_Targets normal_dim_iteration 32 10_Targets normal_dim_iteration 128 Mnist normal_dim_iteration 64 Mnist normal_dim_iteration 32 Mnist normal_dim_iteration 256 Mnist
0 0.7293 0.6883 0.7076 0.6829 0.6896 0.6431 0.6834 0.6153
1 0.6911 0.4959 0.5606 0.3804 0.6903 0.6614 0.6967 0.621
2 0.6642 0.461 0.5144 0.3379 0.6699 0.656 0.6762 0.6084
3 0.6543 0.4516 0.4994 0.3156 0.6405 0.6394 0.646 0.5911
4 0.649 0.4496 0.4946 0.304 0.6087 0.6071 0.6179 0.571
5 0.648 0.4496 0.4928 0.3005 0.5804 0.5702 0.5826 0.5513
6 0.6463 0.4494 0.4909 0.2997 0.5518 0.5399 0.5509 0.5316
7 0.6458 0.4494 0.4892 0.2994 0.5308 0.5139 0.5209 0.5115
Loss over iterations autoencoder
normal_dim_iteration 256 10_Targets normal_dim_iteration 128 10_Targets normal_dim_iteration 64 10_Targets normal_dim_iteration 32 10_Targets normal_dim_iteration 128 Mnist normal_dim_iteration 64 Mnist normal_dim_iteration 32 Mnist normal_dim_iteration 256 Mnist
0 0.358809 0.338873 0.309024 0.312859 0.224678 0.262785 0.245245 0.239754
1 0.380537 0.396713 0.358363 0.35917 0.219608 0.262238 0.272247 0.225392
2 0.396252 0.436513 0.386562 0.382608 0.225386 0.268007 0.288712 0.229338
3 0.406978 0.456022 0.401071 0.407194 0.23434 0.275452 0.306249 0.237216
4 0.413205 0.461212 0.407786 0.417604 0.245477 0.283675 0.32705 0.24631
5 0.416857 0.462325 0.410434 0.420525 0.257074 0.289688 0.347783 0.255738
6 0.419361 0.462581 0.411653 0.421274 0.268422 0.294004 0.37245 0.265194
7 0.420718 0.462668 0.412481 0.421444 0.279231 0.299518 0.395779 0.274468
MAE over iterations autoencoder
normal_dim_iteration 256 10_Targets normal_dim_iteration 128 10_Targets normal_dim_iteration 64 10_Targets normal_dim_iteration 32 10_Targets normal_dim_iteration 128 Mnist normal_dim_iteration 64 Mnist normal_dim_iteration 32 Mnist normal_dim_iteration 256 Mnist
0 0.2643 0.271933 0.255672 0.261034 0.185227 0.200095 0.193445 0.195784
1 0.267377 0.284532 0.26327 0.263848 0.180532 0.196052 0.203622 0.187391
2 0.269332 0.291435 0.266622 0.26522 0.18207 0.197798 0.210235 0.187969
3 0.270853 0.295121 0.268368 0.266285 0.185547 0.200798 0.218021 0.190829
4 0.271603 0.29617 0.26915 0.267346 0.190355 0.204612 0.227833 0.194654
5 0.271963 0.29637 0.269393 0.267807 0.195549 0.207645 0.237778 0.198887
6 0.272165 0.296422 0.269511 0.267939 0.200724 0.209961 0.249925 0.203303
7 0.272354 0.296441 0.269596 0.267966 0.205712 0.212845 0.261387 0.207738 
predictions_df_60
Accuracy over iterations evaluations_feature_classifier
normal_dim_iteration 256 10_Targets normal_dim_iteration 128 10_Targets normal_dim_iteration 64 10_Targets normal_dim_iteration 32 10_Targets normal_dim_iteration 128 Mnist normal_dim_iteration 64 Mnist normal_dim_iteration 32 Mnist normal_dim_iteration 256 Mnist
0 0.6497 0.6263 0.6492 0.6127 0.6277 0.5693 0.614 0.5495
1 0.6394 0.4724 0.5402 0.3751 0.6164 0.5742 0.6166 0.5498
2 0.6219 0.4415 0.4931 0.328 0.593 0.56 0.5919 0.5311
3 0.6131 0.4332 0.4788 0.3076 0.5593 0.5468 0.5587 0.5197
4 0.6097 0.4313 0.4728 0.3002 0.5252 0.5197 0.5228 0.5034
5 0.6096 0.431 0.4714 0.2963 0.4996 0.4851 0.4952 0.4878
6 0.6076 0.431 0.4707 0.2945 0.4765 0.4617 0.468 0.4706
7 0.6075 0.4309 0.4692 0.2945 0.4559 0.4417 0.4387 0.4545
Loss over iterations autoencoder
normal_dim_iteration 256 10_Targets normal_dim_iteration 128 10_Targets normal_dim_iteration 64 10_Targets normal_dim_iteration 32 10_Targets normal_dim_iteration 128 Mnist normal_dim_iteration 64 Mnist normal_dim_iteration 32 Mnist normal_dim_iteration 256 Mnist
0 0.36224 0.341183 0.3099 0.315223 0.266008 0.338149 0.319893 0.282692
1 0.38588 0.400739 0.361553 0.361114 0.257642 0.334487 0.360218 0.262748
2 0.401751 0.442487 0.39097 0.38641 0.260749 0.337019 0.377786 0.264925
3 0.412786 0.463125 0.405489 0.410324 0.267348 0.341497 0.395699 0.271553
4 0.419752 0.468533 0.412391 0.420623 0.276998 0.345822 0.416839 0.27949
5 0.423764 0.469752 0.415067 0.423555 0.287553 0.347728 0.442461 0.287878
6 0.426583 0.470062 0.416241 0.424366 0.297951 0.348568 0.470768 0.296438
7 0.428064 0.470176 0.416861 0.424519 0.307807 0.348002 0.496425 0.304978
MAE over iterations autoencoder
normal_dim_iteration 256 10_Targets normal_dim_iteration 128 10_Targets normal_dim_iteration 64 10_Targets normal_dim_iteration 32 10_Targets normal_dim_iteration 128 Mnist normal_dim_iteration 64 Mnist normal_dim_iteration 32 Mnist normal_dim_iteration 256 Mnist
0 0.267372 0.274405 0.257804 0.262604 0.207578 0.23917 0.232543 0.219616
1 0.270848 0.287963 0.265699 0.265389 0.201033 0.23275 0.248547 0.208759
2 0.272862 0.295387 0.269121 0.266852 0.201225 0.233001 0.255477 0.208419
3 0.274378 0.299177 0.270785 0.267962 0.203468 0.234511 0.263201 0.210492
4 0.275229 0.300208 0.271541 0.268972 0.207416 0.236363 0.272984 0.213562
5 0.275677 0.30048 0.27183 0.269401 0.211944 0.23744 0.285249 0.217126
6 0.27601 0.300549 0.271951 0.269521 0.216504 0.238056 0.298867 0.220953
7 0.276239 0.300574 0.272027 0.269542 0.220889 0.238014 0.31125 0.224882 
predictions_df_70
Accuracy over iterations evaluations_feature_classifier
normal_dim_iteration 256 10_Targets normal_dim_iteration 128 10_Targets normal_dim_iteration 64 10_Targets normal_dim_iteration 32 10_Targets normal_dim_iteration 128 Mnist normal_dim_iteration 64 Mnist normal_dim_iteration 32 Mnist normal_dim_iteration 256 Mnist
0 0.5581 0.5453 0.5733 0.5534 0.5501 0.4739 0.5292 0.4741
1 0.5713 0.4386 0.501 0.3603 0.5284 0.4756 0.5192 0.4672
2 0.5536 0.4037 0.4686 0.3188 0.5008 0.4707 0.496 0.4541
3 0.5467 0.3949 0.4535 0.299 0.4755 0.4657 0.4646 0.4394
4 0.544 0.3941 0.4485 0.2917 0.447 0.4361 0.432 0.4291
5 0.5422 0.3936 0.4476 0.2872 0.4225 0.4033 0.4052 0.4122
6 0.5422 0.3934 0.4461 0.2855 0.4012 0.3825 0.38 0.4028
7 0.5417 0.3933 0.4442 0.285 0.3856 0.3641 0.3612 0.3912
Loss over iterations autoencoder
normal_dim_iteration 256 10_Targets normal_dim_iteration 128 10_Targets normal_dim_iteration 64 10_Targets normal_dim_iteration 32 10_Targets normal_dim_iteration 128 Mnist normal_dim_iteration 64 Mnist normal_dim_iteration 32 Mnist normal_dim_iteration 256 Mnist
0 0.369224 0.345955 0.311881 0.317406 0.316189 0.419801 0.434026 0.322803
1 0.393528 0.406825 0.365674 0.3619 0.302654 0.412798 0.487743 0.298083
2 0.410886 0.448114 0.397274 0.387751 0.300138 0.413418 0.507145 0.29847
3 0.422645 0.468912 0.413296 0.411714 0.303122 0.414883 0.526456 0.30403
4 0.429936 0.474325 0.420686 0.422726 0.310791 0.414967 0.550898 0.311097
5 0.4342 0.475457 0.423339 0.426026 0.319694 0.41138 0.574983 0.318632
6 0.437447 0.475776 0.424428 0.427043 0.32861 0.407253 0.600394 0.326169
7 0.439206 0.475851 0.42502 0.427302 0.337159 0.4011 0.625728 0.333523
MAE over iterations autoencoder
normal_dim_iteration 256 10_Targets normal_dim_iteration 128 10_Targets normal_dim_iteration 64 10_Targets normal_dim_iteration 32 10_Targets normal_dim_iteration 128 Mnist normal_dim_iteration 64 Mnist normal_dim_iteration 32 Mnist normal_dim_iteration 256 Mnist
0 0.272745 0.277317 0.260367 0.264246 0.233818 0.280713 0.290445 0.241499
1 0.276705 0.291148 0.269116 0.266845 0.224525 0.271567 0.312098 0.228371
2 0.278905 0.298405 0.273078 0.268187 0.222112 0.271069 0.319774 0.227258
3 0.280412 0.302177 0.274952 0.269233 0.222575 0.271136 0.328044 0.228748
4 0.281245 0.303268 0.275763 0.270374 0.225475 0.271041 0.339222 0.231257
5 0.28162 0.303509 0.276064 0.27084 0.229055 0.269562 0.350549 0.234261
6 0.281906 0.303578 0.276192 0.270975 0.232732 0.26786 0.362671 0.23744
7 0.282155 0.303594 0.276249 0.271026 0.236317 0.265184 0.374863 0.240662 
predictions_df_80
Accuracy over iterations evaluations_feature_classifier
normal_dim_iteration 256 10_Targets normal_dim_iteration 128 10_Targets normal_dim_iteration 64 10_Targets normal_dim_iteration 32 10_Targets normal_dim_iteration 128 Mnist normal_dim_iteration 64 Mnist normal_dim_iteration 32 Mnist normal_dim_iteration 256 Mnist
0 0.4697 0.4648 0.5094 0.4792 0.4676 0.3949 0.4403 0.4137
1 0.5005 0.4016 0.4749 0.348 0.4456 0.3747 0.4192 0.4073
2 0.4881 0.3816 0.4408 0.3041 0.418 0.3791 0.3917 0.3931
3 0.4827 0.374 0.4265 0.2822 0.395 0.3793 0.3683 0.3796
4 0.4803 0.3718 0.4229 0.2747 0.3716 0.3549 0.347 0.374
5 0.48 0.3716 0.4223 0.2715 0.3551 0.3289 0.3307 0.3613
6 0.4805 0.3714 0.4214 0.2701 0.3366 0.3079 0.31 0.3503
7 0.4801 0.3714 0.4205 0.2699 0.3271 0.2944 0.2916 0.3441
Loss over iterations autoencoder
normal_dim_iteration 256 10_Targets normal_dim_iteration 128 10_Targets normal_dim_iteration 64 10_Targets normal_dim_iteration 32 10_Targets normal_dim_iteration 128 Mnist normal_dim_iteration 64 Mnist normal_dim_iteration 32 Mnist normal_dim_iteration 256 Mnist
0 0.378948 0.351417 0.316358 0.324838 0.36977 0.533207 0.569704 0.368075
1 0.404826 0.413695 0.371446 0.368994 0.348744 0.517298 0.631986 0.335975
2 0.422428 0.456294 0.404677 0.396098 0.338499 0.513233 0.650995 0.333339
3 0.434513 0.477671 0.42079 0.421293 0.337389 0.508775 0.670726 0.337404
4 0.442068 0.483496 0.428376 0.432232 0.342826 0.503893 0.69425 0.343338
5 0.446648 0.484821 0.431075 0.435557 0.350051 0.493788 0.719288 0.349773
6 0.449887 0.485139 0.432153 0.436487 0.357552 0.480665 0.744669 0.356366
7 0.451465 0.485242 0.433031 0.43669 0.364756 0.46696 0.770965 0.362948
MAE over iterations autoencoder
normal_dim_iteration 256 10_Targets normal_dim_iteration 128 10_Targets normal_dim_iteration 64 10_Targets normal_dim_iteration 32 10_Targets normal_dim_iteration 128 Mnist normal_dim_iteration 64 Mnist normal_dim_iteration 32 Mnist normal_dim_iteration 256 Mnist
0 0.278619 0.280956 0.263978 0.269551 0.261427 0.337244 0.358063 0.26609
1 0.283124 0.295724 0.273384 0.271695 0.247938 0.322483 0.383166 0.249134
2 0.285366 0.303239 0.277567 0.273265 0.242093 0.320196 0.390645 0.246633
3 0.286946 0.307223 0.279397 0.274202 0.240702 0.317646 0.39903 0.247312
4 0.287744 0.308367 0.280214 0.27518 0.242474 0.31545 0.409729 0.249171
5 0.288136 0.308626 0.280462 0.275654 0.245147 0.311059 0.421356 0.251514
6 0.28838 0.308684 0.280569 0.27583 0.248018 0.305302 0.433456 0.254114
7 0.28858 0.308702 0.280677 0.275856 0.250846 0.299136 0.446042 0.256837 
predictions_df_90
Accuracy over iterations evaluations_feature_classifier
normal_dim_iteration 256 10_Targets normal_dim_iteration 128 10_Targets normal_dim_iteration 64 10_Targets normal_dim_iteration 32 10_Targets normal_dim_iteration 128 Mnist normal_dim_iteration 64 Mnist normal_dim_iteration 32 Mnist normal_dim_iteration 256 Mnist
0 0.3837 0.399 0.4325 0.4078 0.3886 0.3068 0.3649 0.3449
1 0.4304 0.3772 0.4378 0.3149 0.3585 0.2857 0.3384 0.3451
2 0.4218 0.3555 0.406 0.2808 0.3416 0.2924 0.3181 0.3344
3 0.4196 0.3464 0.3921 0.2655 0.324 0.3004 0.2952 0.3245
4 0.4155 0.3436 0.3881 0.257 0.311 0.2801 0.2725 0.3132
5 0.4154 0.3435 0.3858 0.2519 0.2938 0.253 0.2564 0.3077
6 0.415 0.3433 0.3852 0.2505 0.2859 0.238 0.2404 0.2994
7 0.4144 0.3431 0.3846 0.2502 0.2739 0.2328 0.2298 0.2922
Loss over iterations autoencoder
normal_dim_iteration 256 10_Targets normal_dim_iteration 128 10_Targets normal_dim_iteration 64 10_Targets normal_dim_iteration 32 10_Targets normal_dim_iteration 128 Mnist normal_dim_iteration 64 Mnist normal_dim_iteration 32 Mnist normal_dim_iteration 256 Mnist
0 0.391975 0.359514 0.323418 0.330118 0.435323 0.661032 0.767784 0.414485
1 0.417451 0.422 0.380223 0.373354 0.402743 0.637116 0.858614 0.372306
2 0.435211 0.463338 0.414007 0.400857 0.380531 0.630203 0.878383 0.365236
3 0.447074 0.484401 0.43116 0.424223 0.372432 0.621419 0.897684 0.36706
4 0.454638 0.490431 0.438234 0.435726 0.374473 0.610698 0.92085 0.371367
5 0.459204 0.491961 0.441001 0.439697 0.379507 0.591822 0.949257 0.376426
6 0.462432 0.492413 0.442277 0.440833 0.38526 0.569918 0.977412 0.381808
7 0.464213 0.492543 0.442991 0.441138 0.391019 0.544754 1.00448 0.387279
MAE over iterations autoencoder
normal_dim_iteration 256 10_Targets normal_dim_iteration 128 10_Targets normal_dim_iteration 64 10_Targets normal_dim_iteration 32 10_Targets normal_dim_iteration 128 Mnist normal_dim_iteration 64 Mnist normal_dim_iteration 32 Mnist normal_dim_iteration 256 Mnist
0 0.285029 0.284198 0.268048 0.272362 0.2943 0.399819 0.456104 0.290344
1 0.289668 0.29995 0.277921 0.274708 0.274507 0.379593 0.493798 0.267831
2 0.292042 0.307122 0.282527 0.275795 0.263226 0.376305 0.501724 0.263362
3 0.293605 0.310932 0.284614 0.276601 0.258678 0.371966 0.51005 0.262983
4 0.294492 0.312127 0.285333 0.277537 0.2589 0.367278 0.520512 0.263961
5 0.294932 0.312455 0.285639 0.278023 0.260544 0.359108 0.533874 0.265526
6 0.29515 0.312551 0.28576 0.278202 0.26258 0.349495 0.54733 0.267434
7 0.295343 0.312576 0.285784 0.278255 0.264693 0.338132 0.560265 0.269552 
predictions_df_100
Accuracy over iterations evaluations_feature_classifier
normal_dim_iteration 256 10_Targets normal_dim_iteration 128 10_Targets normal_dim_iteration 64 10_Targets normal_dim_iteration 32 10_Targets normal_dim_iteration 128 Mnist normal_dim_iteration 64 Mnist normal_dim_iteration 32 Mnist normal_dim_iteration 256 Mnist
0 0.2997 0.3248 0.3694 0.3413 0.3165 0.2385 0.2794 0.2989
1 0.3428 0.3338 0.3826 0.2834 0.2817 0.2169 0.2501 0.2938
2 0.3369 0.3185 0.3611 0.2551 0.2642 0.2274 0.2302 0.2798
3 0.3363 0.3118 0.3512 0.2447 0.2549 0.2292 0.2144 0.2704
4 0.3356 0.3103 0.3492 0.2393 0.2418 0.2139 0.2053 0.265
5 0.3345 0.3103 0.3474 0.2356 0.2358 0.1926 0.1989 0.2573
6 0.3349 0.3098 0.3461 0.2345 0.2301 0.1821 0.1928 0.2524
7 0.3345 0.3099 0.3457 0.2341 0.2274 0.1777 0.1864 0.2478
Loss over iterations autoencoder
normal_dim_iteration 256 10_Targets normal_dim_iteration 128 10_Targets normal_dim_iteration 64 10_Targets normal_dim_iteration 32 10_Targets normal_dim_iteration 128 Mnist normal_dim_iteration 64 Mnist normal_dim_iteration 32 Mnist normal_dim_iteration 256 Mnist
0 0.411644 0.372271 0.335566 0.3486 0.514003 0.801476 1.05567 0.472752
1 0.436213 0.434367 0.392505 0.387779 0.464924 0.76791 1.16652 0.418094
2 0.453576 0.474436 0.426698 0.416749 0.424482 0.758334 1.18463 0.402897
3 0.465224 0.494406 0.444109 0.439388 0.40722 0.744712 1.20077 0.401002
4 0.472953 0.49976 0.451536 0.45082 0.405539 0.72911 1.22277 0.403165
5 0.477454 0.501047 0.454507 0.454824 0.40831 0.699264 1.24766 0.406768
6 0.480545 0.501451 0.455777 0.455881 0.412245 0.664338 1.27087 0.411076
7 0.482255 0.501613 0.456395 0.456119 0.416533 0.625125 1.29427 0.415697
MAE over iterations autoencoder
normal_dim_iteration 256 10_Targets normal_dim_iteration 128 10_Targets normal_dim_iteration 64 10_Targets normal_dim_iteration 32 10_Targets normal_dim_iteration 128 Mnist normal_dim_iteration 64 Mnist normal_dim_iteration 32 Mnist normal_dim_iteration 256 Mnist
0 0.294928 0.28968 0.27443 0.281749 0.333347 0.467424 0.597795 0.320944
1 0.299333 0.305662 0.284633 0.283507 0.304958 0.441786 0.644099 0.290793
2 0.301707 0.31249 0.289281 0.284595 0.285498 0.437653 0.651504 0.282693
3 0.303179 0.315987 0.291499 0.285207 0.27689 0.431286 0.658385 0.280574
4 0.304023 0.317052 0.292351 0.285784 0.275424 0.424696 0.668514 0.28048
5 0.304423 0.317303 0.292599 0.286119 0.275984 0.41182 0.680104 0.28126
6 0.304654 0.317372 0.292714 0.28621 0.277124 0.39643 0.691116 0.282584
7 0.304833 0.317407 0.292753 0.286246 0.278495 0.378764 0.702265 0.284201